liquid/lfm-2.2-6b
Model Card
Liquid LFM2-2.6B is a 2.6 billion parameter hybrid language model from Liquid AI that combines grouped query attention with short convolutional layers for fast, efficient inference. It's optimized for on-device deployment on phones, laptops, and edge devices with strong multilingual support across 10 languages including English, Japanese, and Chinese.
Context Window N/A
tokens
Max Output N/A
tokens
Input Cost $0.01
per million tokens
Output Cost $0.02
per million tokens
Release Date Apr 22, 2025
API Usage Example
Add LFM2-2.6B to your app with just a few lines of code.
No API keys, no backend, no configuration required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "liquid/lfm-2.2-6b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "liquid/lfm-2.2-6b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
The LFM2-2.6B API gives you access to Liquid AI's chat model through Puter.js. With just a few lines of JavaScript, you can integrate LFM2-2.6B into any web app or Node.js project — no API keys, no backend, and no configuration required.
LFM2-2.6B was created by Liquid AI and released on Apr 22, 2025.
| Price per 1M tokens | |
|---|---|
| Input | $0.01 |
| Output | $0.02 |
You can access the LFM2-2.6B API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.
Yes — the LFM2-2.6B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add LFM2-2.6B to your app without worrying about API keys or setup.
Read the Docs View Tutorials